Evidence map›Paper›PMID 39407236›Full record

ArticleImmunity & ageing : I & A2024

Quercetin ameliorates lupus symptoms by promoting the apoptosis of senescent Tfh cells via the Bcl-2 pathway.

Feng Xiong, Kai Shen, Di Long, Suqing Zhou, Pinglang Ruan, Yue Xin, Yuezheng Xiao, Weijun Peng, Ming Yang, Haijing Wu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Immunity & ageing : I & A, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Review
  3. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
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  10. Immunopharmacological potential ofFrontiers in pharmacology · 2025
    Review
  11. Review
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Feng Xiong *Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China.
Kai Shen *Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China.
Di LongDepartment of Dermatology, The Second Affiliated Hospital, Hunan University of Traditional Chinese Medicine, Changsha, China.
Suqing ZhouDepartment of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China.
Pinglang RuanDepartment of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China.
Yue XinDepartment of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China.
Yuezheng XiaoDepartment of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China.
Weijun PengDepartment of Integrated Traditional Chinese and Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Ming YangDepartment of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China. yangming_0216@csu.edu.cn.
Haijing WuDepartment of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China. chriswu1010@csu.edu.cn.
Qianjin LuDepartment of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, 139 Middle Renmin Road, Changsha, Hunan, 410011, China. qianlu5860@pumcderm.cams.cn.

Funding

CAMS Innovation Fund for Medical Sciences No.2021-I2M-1-059Health research project of Hunan Provincial Health Commission of China No. W20243055Major Scientific Research Program for High-Level Health Personnel in Hunan Province Health and Family Planning Commission No.2023041National Key R&D Program of China No. 2021YFC2702004National Natural Science Foundation of China No. 82173425Natural Science Foundation of Hunan Province of China No. 2022JJ40722Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2020-RC320-003Special Program of National Natural Science Foundation of China No. 32141004
6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is an autoimmune disorder that commonly affects the skin, kidneys, joints, and various other systemic tissues, with its development intricately linked to the process of immunosenescence. Quercetin (QC), a phytochemical that occurs naturally, demonstrates many different biological capabilities, such as antibacterial, antioxidant, and anti-inflammatory activities. Our investigation found that QC effectively reduced kidney damage and relieved mesenteric lymph nodes (mLNs) swelling in MRL/lpr lupus mice. Moreover, QC has been found to decrease the number of senescent follicular helper T (Tfh) cells, a pivotal kind of T cells that contribute to the progression of SLE. In vitro, QC exhibited the capacity to modulate mRNA expression levels, with the downregulation of IL-6, IL21-AS1, IL-27, BCL6, and BCL2L12, and the upregulation of FOXP1 and BIM. This modulation resulted in the suppression of Tfh cells differentiation and the enhancement of apoptosis in senescent CD4

Identifiers

PMID39407236
PMCPMC11476537

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.